IBM Watson Explorer vs SAP Analytics Cloud comparison

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102 views|73 comparisons
100% willing to recommend
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11,338 views|7,451 comparisons
90% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Watson Explorer and SAP Analytics Cloud based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM Watson Explorer vs. SAP Analytics Cloud Report (Updated: March 2020).
769,630 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data.""The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data.""Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs.""The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own.""For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them.""I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer."

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"I have found that the feature to drag and drop widgets based on the data source, and import them into stories to be valuable. This way it helps the end user to create stories themselves.""The features that are most valuable in SAP Analytics Cloud are the planning feature and the predictive analytics feature, though the planning feature needs to be more efficient.""There is a seamless integration with SAP S4HANA which is really valuable to our organization and its functions. Since the data is stored in the same ecosystem, it creates a simple process of building dashboards, without making the process cumbersome The Analytics Cloud provides standardized templates and storage options, making it easy to plug into existing structures. We're utilizing custom stories that have already been developed, streamlining the development process. It serves as a convenient starting point and contributes to the overall ease of development. Another advantage is that it doesn't provide the same level of calculation power as Power BI and Tableau. SAP Analytics Cloud emphasizes pushing analytics back into the database, recommending data manipulation and preparation outside of the platform. This approach is seen as an advantage, as it allows for more robust data handling.""I like the product's capabilities. The clarity and scenarios are the main features that allow us to forecast using machine learning algorithms and make decisions.""SAP Analytics Cloud is easy to create charts with, and is a stable business intelligence platform. Easy to set up solution.""The most valuable features are the visualization and user-friendliness.""The SKU, the story build all are user- friendly. For the story build one just has to drag and drop it. And for the table, you just need some sort of selections and everything there.""One of the most outstanding features is being able to use the dashboard with a touch screen."

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Cons
"Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running.""It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary""It needs better language support, to include some other languages. Also, they should improve the user interface.""The solution is expensive.""More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform.""Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them.""I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good.""Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves"

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"I would also like to have more advanced features for predictive analytics.""SAP Analytics cloud needs better exporting options.""In the live connection model, we can't create calculated dimensions, however, in the import model we can create them.""The budget management could be better.""I think it would be easier if there was another module created to retrieve only data.""The customizations need to be better.""Sometimes there are speed issues with big deletion data.""The integration with other vendors and solutions could be improved."

More SAP Analytics Cloud Cons →

Pricing and Cost Advice
  • "It is a bit expensive, but really worth it, especially if you are already using other SAP tools."
  • "It is not the most expensive one. You have to do the cost-of-ownership analysis and take a lot of things into consideration to come up with the conclusion that it is cheaper or not, but its price is reasonable. It provides value for money."
  • "It's quite expensive and costs a lot to maintain, especially with licensing."
  • "It's not that costly as such for the time being."
  • "Its licensing is on a monthly basis."
  • "Compute and storage features should be sold separately."
  • "Its pricing is okay as compared to its competitors."
  • "Its price is slightly on the higher side."
  • More SAP Analytics Cloud Pricing and Cost Advice →

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    Top Answer:Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies… more »
    Top Answer:Visualization is quite seamless and awesome. Once the data messaging is set up, it's straightforward and simple to select how it should be displayed. So, that's another advantage of SAP.
    Top Answer:SAP Analytics Cloud is a bit higher [in price]. Because, if Microsoft can afford a better product and lower cost, SAP can afford at least the same, or even lower. At least it should be competitive. If… more »
    Ranking
    9th
    out of 18 in Data Mining
    Views
    102
    Comparisons
    73
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Views
    11,338
    Comparisons
    7,451
    Reviews
    23
    Average Words per Review
    553
    Rating
    7.8
    Comparisons
    Also Known As
    IBM WEX
    SAP BusinessObjects Cloud
    Learn More
    Overview

    IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

    SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.

    You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.

    SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.

    The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.

    SAP Analytics Cloud Capabilities

    • Data discovery
    • Machine learning
    • Integrated financial and business planning
    • Predictive analysis
    • Automated data cleansing
    • Custom widgets
    • Mobile extension
    • Role-based customization
    • Data exploration and visualization

    SAP Analytics Cloud Key Features

    • Augmented analytics: SAP Analytics Cloud allows organizations to make the most of AI (Artificial Intelligence)-powered analytics through augmented analytics. It includes a Search to Insight feature that enables users not skilled or experienced in data science to access and use the platform.

      These smart insight tools allow organizations to visualize business data without manual intervention. By combining multiple machine learning algorithms, SAP Analytics Cloud automates predictive analysis so that organizations can have significant insight into secured data.
    • Enterprise planning: As SAP Analytics Cloud is an all-in-one financial planning and analysis solution, organizations can use it to align strategies across all departments. It allows end-to-end, data-driven planning decisions via financial modeling, allocations, smart insights, and automated reporting.

      The Zero-based budgeting feature allows for an effective resources allocation with built-in collaboration tools. The finance team can collaborate easily, create budget templates and make accurate decisions.

    SAP Analytics Cloud Benefits

    • Real-time cloud insights: SAP Analytics Cloud makes it easy for users at every level to generate instant insights and improve data-driven decision-making. With SAP Analytics Cloud, you can have immediate and central access to all figures, diagrams, insights, and evaluations for every employee on every device and updated in real time.

    • Customizable dashboard: You can customize your dashboard according to your requirements. This customization means you can easily access all the relevant data on a single pane of vision tailored to your business.

    • Collaborative planning: As an all-in-one platform, SAP Analytics Cloud integrates the multiple aspects of a business into a single solution, including finance, HR, sales, and supply chain management.

    • Data on any device: You can integrate SAP Analytics Cloud with SAP S/4 HANA and deploy insights to Android and iOS devices. The SAP S/4 HANA integration also enables the rolling out of changes to multiple files and devices from a central location, so you can carry your business operations on the go over a secured cloud network.

    • In-memory technology: Since it is based on SAP HANA in-memory technology, SAP Analytics Cloud can process massive amounts of data in a short time.

    Reviews from Real Users

    Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."

    The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."

    "Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.

    Sample Customers
    RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
    Live Oak Bank
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company19%
    Outsourcing Company8%
    Financial Services Firm8%
    Educational Organization8%
    REVIEWERS
    Computer Software Company27%
    Financial Services Firm12%
    Manufacturing Company12%
    Retailer8%
    VISITORS READING REVIEWS
    Educational Organization20%
    Manufacturing Company12%
    Computer Software Company10%
    Financial Services Firm6%
    Company Size
    REVIEWERS
    Small Business18%
    Midsize Enterprise18%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise11%
    Large Enterprise65%
    REVIEWERS
    Small Business32%
    Midsize Enterprise21%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise26%
    Large Enterprise57%
    Buyer's Guide
    IBM Watson Explorer vs. SAP Analytics Cloud
    March 2020
    Find out what your peers are saying about IBM Watson Explorer vs. SAP Analytics Cloud and other solutions. Updated: March 2020.
    769,630 professionals have used our research since 2012.

    IBM Watson Explorer is ranked 9th in Data Mining while SAP Analytics Cloud is ranked 5th in BI (Business Intelligence) Tools with 58 reviews. IBM Watson Explorer is rated 8.4, while SAP Analytics Cloud is rated 8.0. The top reviewer of IBM Watson Explorer writes "Ingests, retrieves information from a range of sources; enables dissecting questions in context and answering them". On the other hand, the top reviewer of SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". IBM Watson Explorer is most compared with Salesforce Einstein Analytics, Microsoft Power BI and Tableau, whereas SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Microsoft Power BI and Anaplan. See our IBM Watson Explorer vs. SAP Analytics Cloud report.

    We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.